Vinu C T

Operations Management & Quantitative Techniques

Fellow (IIM Bangalore), M Tech in QROR (ISI Kolkata), MSc Statistics.

+91 431 250 5075

vinu@iimtrichy.ac.in

Vinu CT is Assistant Professor in Operations Management and Quantitative Techniques area at Indian Institute of Management Tiruchirappalli. He has completed his Fellow Program in Management (FPM) from Indian Institute of Management Bangalore. His doctoral research is focused in the area of financial time series. His current areas of research interests are volatility estimation and business analytics. He has about five years of industry experience in IT and Analytics. He has conducted multiple workshops/training on Business Analytics and Data Visualization. He holds M. Tech (Quality, Reliability and Operations Research) degree from Indian Statistical Institute, Kolkata and a Master\'s Degree in Statistics from Mahatma Gandhi University, Kerala.

Courses Taught:

  • Quantitative Methods
  • Data Mining for Business Decisions
  • Business Forecasting
  • Data Visualization for Managers
  • Business Analytics
  • Statistical Inference
  • Mathematical Programming
  • Financial Time Series Analysis

Research Interests:

  • Time Series Analysis 
  • Volatility Models 
  • Econometrics
  • Operations Management
  • Artificial Intelligence

Consulting and Advisory Assignments undertaken:

  • A member of ‘board of studies in statistics’ from Christ College, Irinjalkuda (Feb 2016 -)
  • Training: MDPs in the domain of Business Analytics, Applied Statistics, and Data Visualization. 
  • Consulting: Recently completed a project with one of the leading financial institution in India.

Agam Gupta, Vinu C. T. ,Arqum Mateen , Divya Sharma & Uttam K. Sarkar | Year – 2018
Combating incumbency advantage of network effects: The role of entrant's decisions & consumer preferences. Competition and Regulation in Network Industries (forthcoming)

Ghosh, D., Sirish Kumar Gouda , Shankar, R., Swami, S., & Vinu, C. T. | Year – 2018
Strategic decision making under subscription-based contracts for remanufacturing. International Journal of Production Economics, Volume 200 (134-150), doi: 10.1016/j.ijpe.2018.03.017

• Quantitative Methods • Data Mining for Business Decisions • Business Forecasting • Data Visualization for Managers • Business Analytics • Statistical Inference • Mathematical Programming • Financial Time Series Analysis
• Data Analytics • Business Visual Analytics • Business Analytics with R

International Journal Publications

1. “Strategic decision making under subscription-based contracts for remanufacturing”

Co-author(s): Debabrata Ghosh, Sirish Gouda, Ravi Shankar, Sanjeev Swami,

International Journal of Production Economics (2018), Published Online

Conference Presentation:

1. “Words that Ad(d) Value: Analyzing ad performance on search engines”

Conference: 11th ISDSI International Conference (ISDSI 2017),

Indian Institute of Management Tiruchirappalli, India (December, 2017).

2. “A Joint Volatility Model for Overnight and Trading Day Returns”

Conference: 37th International Symposium on Forecasting (ISF 2017), June 25-28 in Cairns, Australia.

3. “Another Volatility Model for Pre-Open Call Auctions Markets”

Conference: National Conference on Recent Advances in Statistics with Applications in Finance and Actuarial Science, 22 -23 Feb 2013, Central University of Rajasthan, India


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